Responsibilities:

Business Intelligence and Reporting

• Provide insights relevant to specific tasks or projects, developing reports and dashboards focused on answering business questions or KPIs.
  
• Analyze data to identify trends, patterns, and outliers, presenting findings clearly to stakeholders and team members.
  
• Recommend initial actions or next steps based on analysis.
  

Dashboard And Report Maintenance

• Maintain accuracy of assigned reports and dashboards, monitoring for data discrepancies or inconsistencies.
  
• Analyze the root cause of identified data inaccuracies and coordinate with data engineers for correction.
  
• Provide initial troubleshooting and support to users encountering issues with reports or dashboards.
  

Data Quality

• Identify and flag data quality issues within your area of analysis, applying data quality checks to catch errors, inconsistencies, or missing values.
  
• Document and report data quality issues to senior analysts or data quality specialists.
  
• Follow established data governance procedures regarding data access and usage.
  

Data Modelling Support

• Design and develop basic data models for well-defined analytics requirements, applying data normalization techniques.
  
• Write DBT scripts to perform data transformations, including filtering, aggregation, and joining tables.
  
• Collaborate with stakeholders to understand their data needs and identify potential model improvements.
  

Data Visualization

• Create clear, well-designed visualizations for data analysis tasks, selecting appropriate chart types for the data and insights.
  
• Apply dashboard design principles to organize multiple visualizations for effective storytelling.
  
• Document data sources and steps used to create visualizations.
  

Data Security And Compliance

• Adhere to established data security and compliance protocols while handling data.
  
• Follow data access control procedures and complete required data security and compliance training.
  

Requirements

Must-have skills (required)

• Good understanding of data analytics concepts, data visualization, and business intelligence tools.
  
• Proficient in SQL for querying and extracting data from the data warehouse.
  
• Advanced spreadsheet skills, including pivot tables, index-match, and macros or Google Apps Script.
  
• Experience creating dashboards and reports using tools such as QuickSight or Tableau.
  
• Understanding of data modelling principles, with experience writing DBT scripts for basic transformations.
  
• Able to identify and flag data quality issues, applying data quality checks during analysis.
  
• Strong communication skills, able to present findings clearly to stakeholders.
  

Academic and professional requirements

• Bachelor's degree in a quantitative field, such as Statistics, Data Science, Business, or Economics, or equivalent practical experience.
  
• 2–4 years of experience in a data analysis role.